Multi-sensor analysis of complex geologic materials

a geologic material and multi-sensor technology, applied in the direction of material analysis, material analysis, material analysis using wave/particle radiation, etc., can solve the problems of less than optimal accuracy and precision of single analytical techniqu

Active Publication Date: 2017-06-08
MALVERN PANALYTICAL INC
View PDF1 Cites 3 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Benefits of technology

This approach improves the precision and accuracy of ore property characterization by integrating data from multiple sensors, providing a more comprehensive understanding of geological attributes, which is essential for efficient mine planning and operations.

Problems solved by technology

While any given analytical technique may be able to provide a subset of the required information, in many cases the accuracy and precision of that single analytical technique may be less than optimal.

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • Multi-sensor analysis of complex geologic materials
  • Multi-sensor analysis of complex geologic materials
  • Multi-sensor analysis of complex geologic materials

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0016]Several embodiments disclosed herein provide a method for addressing the need for obtaining improved geological property information by combining data streams and / or results from multiple sensors, such as X-ray diffraction (XRD), X-ray fluorescence (XRF), Raman, Fourier Transform Infrared (FT-IR) spectroscopy, laser-induced breakdown spectroscopy (LIBS), Quantitative Evaluation of Minerals by SCANing electron microscopy (QEMSCAN), whole rock chemistry and near infrared (NIR) into a single multivariate calibration model. For example, NIR, FT-IR and Raman are used to analyze minerals, but each is best suited to a somewhat different list of mineral species. Thus the combination of NIR, FT-IR and Raman sensors is useful together to produce better qualitative and quantitative results.

[0017]As discussed above, NIR works well with a wide range of sample preparation approaches. Hence NIR spectra obtained from an NIR spectrometer is combined with data from “whole rock” mineral assays (...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

PUM

PropertyMeasurementUnit
wavelengthsaaaaaaaaaa
Login to View More

Abstract

Systems and methods for analyzing an unknown geological sample are disclosed. The system may include at least two analytical subsystems, and each of the at least two analytical subsystems provides different information about the geological sample. The data sets from various analytic subsystems are combined for further analysis, and the system includes a chemometric calibration model that relates geological attributes from analytical data previously obtained from at least two analytical techniques. A prediction engine applies the chemometric calibration model to the combined analytical information from the geological sample to predict specific geological attributes in the unknown geological sample.

Description

CLAIM OF PRIORITY UNDER 35 U.S.C. §120[0001]The present Application for Patent is a continuation of patent application Ser. No. 14 / 038,622 entitled “MULTI-SENSOR ANALYSIS OF COMPLEX GEOLOGIC MATERIALS” filed Sep. 26, 2013, which claims priority to Provisional Application No. 61 / 705,760 entitled “SYSTEMS AND METHODS FOR MULTIVARIATE CALIBRATION USING MULTI-SENSOR DATA,” filed Sep. 26, 2012, both of which are assigned to the assignee hereof and hereby expressly incorporated by reference herein.FIELD OF THE INVENTION[0002]The present invention relates to improving the quality and quantity of information that can be obtained from geological samples. In particular, but not by way of limitation, the present invention relates to systems and methods using multi-sensor data streams for obtaining improved qualitative and quantitative information on ore properties that can allow for efficient mine planning and mining related operations.BACKGROUND OF THE INVENTION[0003]Characterization of miner...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

Application Information

Patent Timeline
no application Login to View More
Patent Type & AuthorityApplications(United States)
IPC IPC(8): G01N33/24G01N23/223G01N21/359
CPCG01N33/24G01N21/359G01N23/223G01N2201/129G01N2223/3037G01N2021/1734G01N2021/3595G01N2223/616G01N2201/127G01N21/3563G01N21/65G01N21/718G01N2021/1736G01V13/00
InventorSHILEY, DANIEL A.CURTISS, BRIAN
OwnerMALVERN PANALYTICAL INC